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motivated individual to develop Python tools for analyzing data from our holographic cloud particle imagers. Our research group studies the crucial role of clouds and aerosols in the climate system, aiming
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Max Planck Institute for Multidisciplinary Sciences, Göttingen | Gottingen, Niedersachsen | Germany | about 3 hours ago
Familiarity with high-performance computing environments or cloud computing. Experience with workflow tools (e.g., Snakemake, Docker, Singularity). Experience in interactive data visualisation and dashboard
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backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular Networks, and ICT Services
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AWS cloud and HPC environments, including large-scale model training, profiling, debugging, scaling, cost/performance tuning, reliability, CI/testing, packaging, deployment, reproducibility engineering
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atmosphere-ocean interactions in the context of tropical cyclones. Our research group studies clouds in their various facets, from cloud microphysical processes to convective systems such as tropical cyclones
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cloud-based platform. Excellent written and verbal communication skills are also essential for this role. The position is full time (although part time considered) and fixed term for 2 years (in the first
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leads a team of Systems Administrators and Cloud Engineers responsible for the secure, reliable, and automated delivery of enterprise identity, productivity, and cloud platform services. This role
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: Puppet, Chef, Ansible). Experience with infrastructure implementations in Google Cloud Platform (GCP) or similar IaaS cloud environments (AWS, Azure), preferably using Infrastructure as code (IaC
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investigators to ensure effective detection, response, investigation, and recovery from cybersecurity incidents in a complex higher-education environment that includes on-premises, cloud, and research systems
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will have substantial experience in practical research as well as statistical epidemiology, handling large (e.g. proteomics) and complex longitudinal datasets in a cloud-based platform. Excellent written